National Repository of Grey Literature 69 records found  beginprevious52 - 61next  jump to record: Search took 0.00 seconds. 
Analysis of Economic Indicators Using Statistical Methods
Lacko, Matej ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This bachelor thesis deals with the analysis of economic indicators of the company Technos, a.s,. using statistical methods. The work is divided into theoretical and practical part. The theoretical part of thesis is focused to description of selected economic indicators and selected statistical methods. The practical part deals with the actual analysis of selected economic indicators of company, which will be used to evaluate strengths and weaknesses of the company and try, using statistical methods, to predict future development. The following part of the thesis are proposals for improving the problems and situation of the company.
Analysis of Economic Indicators Using Statistical Methods
Jursa, Jan ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This bachelor thesis focuses on analysis of economic indicators with the usage of statistical methods in the D-Fortel s.r.o. company. The first part concentrates on theoretical basis of the indicators. In the second part are the concrete indicators applied to analyze the D-Fortel company. The last part of this thesis brings on proposals for improvement of the financial situation of this company.
Analysis of Economic Indicators Using Statistical Methods
Kolář, Jan ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This bachelor thesis deals with the processing of financial analysis for the company Rathgeber, k.s., which are used in the selected statistical methods. The thesis is divided into three parts. The theoretical part describes the statistical methods and financial analysis methods that will is used in the next section. The practical part is focused on the actual processing of financial statements to form, we have to draw conclusions and make recommendations. The last part of the thesis proposes solutions to problems that the company faces and also predicts the possible pitfalls and risks of their business.
Analysis of Economic Indicators Using Statistical Methods
Jakubec, Michal ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The goal of my bachelor’s thesis is to valorize economic situation and to predict future development of economic indicators using Statistics. This thesis has two main parts – theoretical and practical part. Theoretical part discusses about methods of financial analysis and principles of time series in statistics. In practical part I will analyze current economic situation and I will try to predict future development. And at the end of the thesis I will try to determine suggestions for improving the deficiency.
Technical Analysis
Hlavenka, Dušan ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This Bachelor´s thesis focuses on the issue of the use of statistical concepts in economics with a focus on financial market in the Czech Republic. Specifically, the work deals with emissions that are included in the Prime Market Index PX and monitored and recorded Stock Exchange in Prague. The essence is the analysis of individual stocks and calculating statistical parameters that should be relevant to potential investors in the financial market favoring technical analysis.
Model of E-commerce in Services
Šustrová, Tereza ; Šustr, Vilém (referee) ; Dvořák, Jiří (advisor)
The bachelor thesis deals with the current situation in the company offering services such as copying, laminating or book binding. The study primarily proposes the model of e-commerce relating to structure, functions and visual aspects.
Service Optimalization Proposal in Copy Centre.
Šustrová, Tereza ; Šimonová, Jana (referee) ; Pokorný, Jiří (advisor)
The bachelor thesis deals with the current situation in the company offering services such as copying, laminating or book binding. The study analyses the status of the company from the aspect of personal labour effectiveness and affect of the company environment on the customer. The results of the questionnaire survey will be used for determination of further enhancements of the company's services.
Analysis of Economic Indicators Using Statistical Methods
Kupka, Jan ; Kropáčková, Šárka (referee) ; Šustrová, Tereza (advisor)
The aim of this bachelor thesis is an analysis of economic data in the company Valeo Compressor Europe s. r. o. for the years 2010 to 2014. The result will be a set of economic indicators, which will reveal the strengths and weaknesses of the company. Usage of statistical indicators will allow to predict the development of individual quantities for the following period. Finally, the thesis includes suggestions of improvement for the problems the company faces.
The Use of Statistical Methods for Data Processing
Vaněk, Tomáš ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The subject of this master’s thesis is to analyze and evaluate the economic indicators of selected company and comparison of these indicators with the nearest competitors. The thesis is divided into three main sections. First part is theoretical and contains information about used economical and statistical terms. Second part contains of analysis of economic indicators, comparison of actual and predicted values and comparison with the nearest competitors. In order to predict future values of indicators, on selected indicators appropriate regression function has been applied. The last part of thesis contains of program created by using VBA in MS Excel, which is designed to calculate the economic indicators, and the part containing proposals for improving the situation of company.
The Utilization of Soft Computing in Ordering Cycle Management
Šustrová, Tereza ; Fecenko, Josef (referee) ; Jurová, Marie (referee) ; Marček, Dušan (referee) ; Dostál, Petr (advisor)
This doctoral thesis deals with possibilities of using advanced methods of decision-making - Soft Computing, in company’s ordering cycle management. The main aim of the thesis is to propose an artificial neural network model with an optimal architecture for ordering cycle management within the supply chain management. The proposed model will be employed in an organization involved in retailing to ensure smooth material flow. A design and verification of artificial neural networks model for sales prediction is also part of this doctoral thesis as well as a comparison of results and usability with standard and commonly used statistical methods. Furthermore, the thesis deals with finding a suitable artificial neural network model with architecture capable of solving the lot-size problem according to specified inputs. Methods of statistical data processing, economical modelling and advanced decision-making (Soft Computing) were utilized during the model designing process.

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